Month: November 2013

Running Hadoop on bare metals may fit some use cases, but many organizations have the types of data workloads that demand more storage than compute resources. In order to get the most efficient utilization for these types of Hadoop workloads, separating the compute and storage resources makes sense and is a configuration users are asking for, i.e EMC Isilon storage for Hadoop. In response to diverse Big Data needs such as mixed Hadoop workloads, hybrid cloud models, and heterogenous data layers, Rackspace recently delivered new Big Data hosting options whereby…